Literature DB >> 25604811

Development, implementation, and initial evaluation of a foundational open interoperability standard for oncology treatment planning and summarization.

Jeremy L Warner1, Suzanne E Maddux2, Kevin S Hughes3, John C Krauss4, Peter Paul Yu5, Lawrence N Shulman6, Deborah K Mayer7, Mike Hogarth8, Mark Shafarman9, Allison Stover Fiscalini10, Laura Esserman11, Liora Alschuler12, George Augustine Koromia12, Zabrina Gonzaga12, Edward P Ambinder13.   

Abstract

OBJECTIVE: Develop and evaluate a foundational oncology-specific standard for the communication and coordination of care throughout the cancer journey, with early-stage breast cancer as the use case.
MATERIALS AND METHODS: Owing to broad uptake of the Health Level Seven (HL7) Consolidated Clinical Document Architecture (C-CDA) by health information exchanges and large provider organizations, we developed an implementation guide in congruence with C-CDA. The resultant product was balloted through the HL7 process and subsequently implemented by two groups: the Health Story Project (Health Story) and the Athena Breast Health Network (Athena).
RESULTS: The HL7 Implementation Guide for CDA, Release 2: Clinical Oncology Treatment Plan and Summary, DSTU Release 1 (eCOTPS) was successfully balloted and published as a Draft Standard for Trial Use (DSTU) in October 2013. Health Story successfully implemented the eCOTPS the 2014 meeting of the Healthcare Information and Management Systems Society (HIMSS) in a clinical vignette. During the evaluation and implementation of eCOPS, Athena identified two practical concerns: (1) the need for additional CDA templates specific to their use case; (2) the many-to-many mapping of Athena-defined data elements to eCOTPS. DISCUSSION: Early implementation of eCOTPS has demonstrated successful vendor-agnostic transmission of oncology-specific data. The modularity enabled by the C-CDA framework ensures the relatively straightforward expansion of the eCOTPS to include other cancer subtypes. Lessons learned during the process will strengthen future versions of the standard.
CONCLUSION: eCOTPS is the first oncology-specific CDA standard to achieve HL7 DSTU status. Oncology standards will improve care throughout the cancer journey by allowing the efficient transmission of reliable, meaningful, and current clinical data between the many involved stakeholders.
© The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Breast Neoplasms; Continuity of Patient Care; Electronic Health Records; Health Information Management; Information Science; Medical Oncology

Mesh:

Year:  2015        PMID: 25604811     DOI: 10.1093/jamia/ocu015

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  9 in total

1.  Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.

Authors:  Timothy I Kennell; James H Willig; James J Cimino
Journal:  Appl Clin Inform       Date:  2017-12-21       Impact factor: 2.342

2.  Improving Cancer Data Interoperability: The Promise of the Minimal Common Oncology Data Elements (mCODE) Initiative.

Authors:  Travis J Osterman; May Terry; Robert S Miller
Journal:  JCO Clin Cancer Inform       Date:  2020-10

Review 3.  Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology.

Authors:  M J Rioth; J Warner; B N Savani; M Jagasia
Journal:  Bone Marrow Transplant       Date:  2015-09-14       Impact factor: 5.483

4.  Implementing and Improving Automated Electronic Tumor Molecular Profiling.

Authors:  Matthew J Rioth; David B Staggs; Lauren Hackett; Erich Haberman; Mike Tod; Mia Levy; Jeremy Warner
Journal:  J Oncol Pract       Date:  2016-01-26       Impact factor: 3.840

5.  The biorepository portal toolkit: an honest brokered, modular service oriented software tool set for biospecimen-driven translational research.

Authors:  Alex S Felmeister; Aaron J Masino; Tyler J Rivera; Adam C Resnick; Jeffrey W Pennington
Journal:  BMC Genomics       Date:  2016-08-18       Impact factor: 3.969

6.  PIPELINEs: Creating Comparable Clinical Knowledge Efficiently by Linking Trial Platforms.

Authors:  M R Trusheim; A A Shrier; Z Antonijevic; R A Beckman; R K Campbell; C Chen; K T Flaherty; J Loewy; D Lacombe; S Madhavan; H P Selker; L J Esserman
Journal:  Clin Pharmacol Ther       Date:  2016-10-19       Impact factor: 6.875

Review 7.  Common data elements of breast cancer for research databases: A systematic review.

Authors:  Esmat Mirbagheri; Maryam Ahmadi; Soraya Salmanian
Journal:  J Family Med Prim Care       Date:  2020-03-26

8.  Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival.

Authors:  Daniel X Yang; Rohan Khera; Joseph A Miccio; Vikram Jairam; Enoch Chang; James B Yu; Henry S Park; Harlan M Krumholz; Sanjay Aneja
Journal:  JAMA Netw Open       Date:  2021-03-01

9.  Health information technology to support cancer survivorship care planning: A systematic review.

Authors:  Sean P Mikles; Ashley C Griffin; Arlene E Chung
Journal:  J Am Med Inform Assoc       Date:  2021-09-18       Impact factor: 7.942

  9 in total

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